The Leading eBooks Store Online
for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, Sony Reader...
Physical Approach to Short-Term Wind Power Prediction
US$ 139.99
(+ tax)
Preview (read now)
Add to my own site
Give this ebook to a friend
Add to my wishlist
Author's page
Publisher's page
Devices
- iPad
- PC
- e-readers with Adobe Digital Editions installed
- Mac
See the full list
Available Devices
X
This book is available for the following devices:
- iPad
- Windows
- Mac
- Sony Reader
- Cool-er Reader
- Nook
- Kobo Reader
- iRiver Story
File Formats
Download: secure PDF.
You can also read this book online in eb20 format without having to download anything.
You can also read this book online in eb20 format without having to download anything.
Permissions
Printing
Copy/Paste
Read Aloud
Printing
Copy/Paste
Read Aloud
more
The effective integration of wind energy into the overall electricity supply is a technical and economical challenge because the availability of wind power is determined by fluctuating meteorological conditions. This book offers an approach to the ultimate goal of the short-term prediction of the power output of winds farms. Starting from basic aspects of atmospheric fluid dynamics, the authors discuss the structure of winds fields, the available forecast systems and the handling of the intrinsic, weather-dependent uncertainties in the regional prediction of the power generated by wind turbines. This book addresses scientists and engineers working in wind energy related R and D and industry, as well as graduate students and nonspecialists researchers in the fields of atmospheric physics and meteorology.
less
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG; January 2006
216 pages; ISBN 9783540311065
Read online, or download in secure PDF format
216 pages; ISBN 9783540311065
Read online, or download in secure PDF format
Subject categories
- Academic > Mathematics > Probabilities. Mathematical statistics > Stochastic processes
- Academic > Mathematics > Probabilities. Mathematical statistics > Stochastic analysis
- Academic > Mathematics > Probabilities. Mathematical statistics > Stochastic differential equations
- Academic > Mathematics > General
- Technology > Engineering
- Technology > Electronics
ISBNs
3540311068
9783540256625
9783540311065